Divvy 2019
@kaggle.moazmohamedhassan_divvy_2019
@kaggle.moazmohamedhassan_divvy_2019
This dataset is based on a bike renting company called Cyclistic which takes place in Chicago , their director of marketing believes the company’s future success depends on maximizing the number of annual memberships . Therefore, Our team wants to understand how casual riders and annual members use Cyclistic bikes differently. From these insights, Our team will design a new marketing strategy to convert casual riders into annual members
the data after further inspections shows a bit of unexplained data where some rides too months which didn't make sense so we added a criteria of 120 mins maximum rides so we get a real understanding of the data , our goal is to clean , organize , filter & sort so we can make observations on the data , i acquired the data from : https://ride.divvybikes.com/system-data ,which is an open source data with the license agreement :https://ride.divvybikes.com/data-license-agreement , this data set takes place in 2019 whole year .
can't disregard the help of the people around me makes it much easier to have other insights regarding the points of view and other ways to tackle the problem on hand .
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